Design and Development of Low-cost Wearable Electroencephalograms (EEG) Headset  

作　　者：Riaz Muhammad Ahmed Ali M.Abid Anwar Toufique Ahmed Soomro Omar AlShorman Adel Alshahrani Mahmoud Masadeh Ghulam Md Ashraf Naif H.Ali Muhammad Irfan Athanasios Alexiou 

机构地区：[1]Department of Electrical Engineering,Sukkur IBA University,65200,Sukkur,Pakistan [2]Department of Electronic Engineering,Quaid-e-Awam University of Engineering,Science and Technology,Larkana,77150,Pakistan [3]Faculty of Engineering and AlShrouk Trading Company,Najran University,Najran,61441,Saudi Arabia [4]Department of Medical Rehabilitation Sciences-Physiotherapy Program,College of Applied Medical Sciences,Najran University,Najran,61441,Saudi Arabia [5]Computer Engineering Department,Yarmouk University,Irbid,21163,Jordan [6]Pre-Clinical Research Unit,King Fahd Medical Research Center,King Abdulaziz University,Jeddah,21589,Saudi Arabia [7]Department of Medical Laboratory Technology,Faculty of Applied Medical Sciences,King Abdulaziz University,Jeddah,21589,Saudi Arabia [8]Department of Internal Medicine,Medical College,Najran University,Najran,61441,Saudi Arabia [9]Electrical Engineering Department,College of Engineering,Najran University Saudi Arabia,Najran,61441,Saudi Arabia [10]Novel Global Community Educational Foundation,Hebersham,NSW 2770,Australia,AFNP Med Austria,Wien,2770,Austria

出　　处：《Intelligent Automation & Soft Computing》2023年第3期2821-2835,共15页智能自动化与软计算（英文）

基　　金：funded this work(DSR),King Abdulaziz University,Jeddah,Saudi Arabia,under grant no.(RG-18-130-43).

摘　　要：Electroencephalogram(EEG)is a method of capturing the electrophy-siological signal of the brain.An EEG headset is a wearable device that records electrophysiological data from the brain.This paper presents the design and fab-rication of a customized low-cost Electroencephalogram(EEG)headset based on the open-source OpenBCI Ultracortex Mark IV system.The electrode placement locations are modified under a 10–20 standard system.The fabricated headset is then compared to commercially available headsets based on the following para-meters:affordability,accessibility,noise,signal quality,and cost.First,the data is recorded from 20 subjects who used the EEG Headset,and signals were recorded.Secondly,the participants marked the accuracy,set up time,participant comfort,and participant perceived ease of set-up on a scale of 1 to 7(7 being excellent).Thirdly,the self-designed EEG headband is used by 5 participants for slide changing.The raw EEG signal is decomposed into a series of band sig-nals using discrete wavelet transform(DWT).Lastly,thesefindings have been compared to previously reported studies.We concluded that when used for slide-changing control,our self-designed EEG headband had an accuracy of 82.0 percent.We also concluded from the results that our headset performed well on the cost-effectiveness scale,had a reduced setup time of 2±0.5 min(the short-est among all being compared),and demonstrated greater ease of use.

关 键 词：Brain-computer interface EEG consumer-grade ACCESSIBILITY HEADSET 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]